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Workshops

Training throughout the research lifecycle

The Library provides workshops on a range of topics to support HDR students and researchers. You can find and sign up for upcoming sessions using the online calendar.

To find out more about workshops relating to literature searching, strategic publishing, finding industry collaborators and reference management, contact your Academic Liaison Librarian.

To find out more about workshops relating to research data management, visualisation and data publishing contact the Digital Curation and Data team.

Research data training sessions

Preparing for analysis: best practices in managing quantitative data

  • Do you work with quantitative tabular data such as counts, measurements, or other numerical values? Come along to this session to find out how to structure and format your data tables using spreadsheets, how to organise your data files into a folder structure for analysis, and how to document your data so that it can be understood and reused.

    Objectives:

    • Understand how to structure and format your quantitative data
    • Understand how to organise your quantitative data files within a folder structure
    • Understand how to document your quantitative data
    • Ensure your quantitative data is optimised for reuse and replication

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be working with quantitative data using spreadsheet software such as Microsoft Excel or analysis software such as MATLAB, R, SAS, SPSS, or similar.

    View upcoming sessions


Preparing for analysis: best practices in managing qualitative data

  • Do you work with qualitative data such as interview recordings and transcripts, written survey responses, or other text, image, audio and video files? Come along to this session to find out how to structure and format your data files for use with Computer Assisted Qualitative Data AnalysiS (CAQDAS) software, how to organise your data files into a folder structure for analysis, and how to document your data so that it can be understood and reused.

    Objectives:

    • Understand how to structure and format your qualitative data
    • Understand how to organise your qualitative data files within a folder structure
    • Understand how to document your qualitative data
    • Ensure your qualitative data is optimised for reuse and replication

    Format: Presentation

    Target audience: Researchers and HDR students who are or will be working with qualitative data using software such as Microsoft Word and Excel, as well as PDF, image, audio, and video files, or analysis software such as NVivo, ATLAS.ti, MAXQDA, or similar.

    View upcoming sessions


Getting started with data visualisation

  • Have you ever looked at a figure in a journal article and thought "What on earth does that even mean?"... We certainly have! This session on data visualisation will get back to basics and give you some best practice advice so that you can create visualisations with your research data that communicate your point and are easily understood by everyone.

    Objectives:

    • Know the principles of data visualisation
    • Understand different purposes of and audiences for data visualisations
    • Recognise the relationship between visualisation type and underlying data type or structure
    • Understand the strengths and limitations of different media for visualising data
    • Gain knowledge of the tools and resources available to support visualisation activities

    Format: Presentation

    Target audience: Researchers and HDR students who need to visualise data for analysis or presentation purposes

    View upcoming sessions


Getting started with data publishing

  • Data publishing is a growing trend in academia and is even mandated by some funders and publishers. This session will give you essential tips about data publication including info on preparing your data for publication and choosing the best place to publish for your discipline.

    Objectives:

    • Understand what information to include when publishing a dataset
    • Understand how to publish a dataset so that it is accessible
    • Recognise the different licences that can be applied to a dataset
    • Know how to find a relevant repository to publish in

    Format: Workshop or Webinar

    Target audience: Researchers and HDR students that are interested in publishing their research data

    View upcoming sessions